Apresentação - Ciência 2016

Transcrição

Biomedical Imaging
Windows to your inner you
Ana Fred
Instituto Superior Técnico,
Universidade de Lisboa, Portugal
Instituto de Telecomunicações
Lisboa, Portugal
Pattern and Image Analysis group
• “processing and analysis of signals, images, and other types of information”
• “Core tools: statistical inference, information theory, machine learning, pattern
recognition, signal processing, inverse problems, and optimization.”
• “Main application areas: remote sensing, image reconstruction/restoration,
processing and analysis of biomedical signals and images.”
• 4 senior researchers (Mário Figueiredo, Luis Borges de Almeida, José
Bioucas-Dias, Ana Fred) + 4 PhD permanent researchers+ 2 post-doc
• 14 PhD Students
• Involvement in 2 “Marie Curie innovative training networks”, EU Projects,
FCT, NATO, QREN, ESA, BRISA.
Encontro Ciência 2016
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The ubiquity of images in the modern world
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The ubiquity of images in the modern world
Human being “love” images!
“Ver para crer” “seeing is believing” “voir c'est croire” “vedere per credere” “Sehen heißt glauben”
“An image is worth a thousand words”
What is Pattern Recognition ?
• Finding patterns in data
•
Theory and Methods to solve real world problems
Encontro Ciência 2016BioPrint
Lisbon, March 14, 2016
@Ana Fred
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Pattern Recognition
• Finding Faces in Images
@Ana Fred
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Pattern Recognition
• Finding Faces in Images
@Ana Fred
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Pattern Recognition
• Diagnosis systems
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Medical Images: “Looking” inside you
The first radiographic image (Röntgen, 1895)
Early technology: film+revelation or fluorescent screen
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End of XX century: electronics invades the world!
Radio, radar, sonar, television, discs, cassettes, CDs, fixed and mobile phones, telecommunications,
satellites, GPS space traveling, computers, Internet, digital photographs, video, robotics,, industrial,
industrial automation, electronic banking, e-mail, …
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Electronics breakthroughs: huge impact in medical imaging (MI)
Even the analogic electronics of the 40~60 had an enormous impact in medical imaging
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Computers: the second great impact in medical imaging
Computed tomography – CT, Hounsfield & Cormack (early 70s)
raios-X
Radon Transform
Computed Image
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PIA’s work in Biomedical imaging : 25 years
90s: detection and analysis of ventricular and vascular contours (angio e eco)
J. Bioucas-Dias, J. Leitão, M. Figueiredo (colaboration with Hospital de Santa Cruz, Instituto do Coração)
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PIA’s work in Biomedical imaging
90: detection and analysis of contours in CT and MRI
2000: detection and analysis of contours in Eco obstetrics
J. Leitão, M. Figueiredo, A. Jain, S. Sardim
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2010: detection of polyps in images of endoscopic capsules
F. Condessa, J. Bioucas-Dias, M. Figueiredo
Detection/classification (schizophrenia MRI images; renal cancer cells in microarray tissue)
M. Bicego, A. Carli,
V. Murino, M. Figueiredo
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2012: Diagnosis of Alzheimer’s disease with automatic extraction of ROIs from FDG-PET
H. Aidos, J. Duarte, A. Fred
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2012: Diagnosis of Alzheimer’s disease with automatic extraction of ROIs from FDG-PET
• Application of state-of-the-art unsupervised
learning algorithms proposed in 2001 (A.
Fred) for the selection of regions of interest
(ROI) in the images
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2014: Diagnosis of Alzheimer’s disease with automatic extraction of ROIs from FDG-PET scans
• Application of semi-supervised learning for
the selection of regions of interest (ROI) in
the images, combining information provided
by expert physician
• Classification into
• Mild cognitive impairment
• Alzheimer
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(2015-2016): segmentation and classification of pathologic histology images
bone
mesenchyme
cartilage
fat
F. Condessa, J. Bioucas-Dias, J. Kovacevic
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(2010-2012) development of state-of-the-art methods for image restauration
Poisson noise:
For instance, confocal microscopy
M. Afonso, J. Bioucas-Dias,
M. Figueiredo
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(2010-2012) development of state-of-the-art methods for image restauration
Refocusing
restored
restored
M. Almeida, M. Figueiredo
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… these methods were extended for “blind” problems (2014)
Potentially useful for
medical images?
restored
M. Almeida, M. Figueiredo
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… these methods revealed excelent for MRI reconstruction
[Ramani, Matakos, Fessler, 2011-2013], [Bilen, Wang, Selesnick, 2012]
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Looking inside from surface measurements ....
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90: EEG topographic mapping
20-20 -> 10-10 systems
A. Fred, J. Leitão
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90: EEG topographic mapping
Both space and time dimensions
A. Fred, J. Leitão
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PIA’s work in Biomedical applications
90: EEG topographic mapping: visual evoked potentials and diagnosis
Diagnosis
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2000: Sleep Analysis: multiple modalities ( electroencephalogram, electrooculogram,
electromyogram, pulse , respiration)
A. Fred, J. Leitão
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2000: Sleep Analysis: Diagnosis of sleep-related pathologies (sleep apnoea, anxiety,
dysthymia, schizophrenia, fibrosis
A. Fred, J. Leitão
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2000: Sleep Analysis: prediction of REM
A. Fred, J. Leitão
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Unsupervised learning for string description
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Applying coding theory: different sentences and languages in baseline and
before REM - prediction capacity
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Wearable health monitoring systems
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Wearable health monitoring systems
Pervasiveness / transparency
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Other work in Biomedical applications
EMG
ECG
BITalino
EDA
ACC
Credit card-type board for rapid prototyping
of biomedical signal acquisition and processing
A. Fred. H. Silva,
A. Lourenço
www.bitalino.com
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Other work in Biomedical applications
EMG
ECG
BITalino
EDA
ACC
Applications:
• Biometric identification
• Non intrusive ECG
• Emotional status assessment
• Detection of fatigue
• Fall detection
• …
A. Fred. H. Silva,
A. Lourenço
www.bitalino.com
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Work in progress
• We look for pervasive ways of
assessing your inner you in terms of
health, emotional status on a
personalized way
• Prevention of disease
• Wellbeing
• Active ageing
• Closing the loop between nurses,
physicians, psychologists, physiotherapists, occupational therapists,
mediated by pervasive technology
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Obrigado...
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Apresentação - Ciência 2016

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